Emergency call method and device, main control chip and wearable intelligent equipment

Abstract

The invention relates to the technical field of wearable intelligent equipment, and further relates to an emergency call method and device, a main control chip and wearable intelligent equipment. The method comprises the following steps: monitoring at least one distress call operation of a user; when at least one distress call operation is monitored, at least one trigger signal is generated according to the at least one distress call operation, and each distress call operation corresponds to one trigger signal; performing weighted summation on all the generated trigger signals to determine danger parameters; and determining the danger level of the user according to the danger parameters, selecting a corresponding distress call mode according to the danger level, and sending a distress call signal. According to the method, the rescue efficiency in a dangerous state can be effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wearable smart devices, and further relates to an emergency call method and device, a master control chip and a wearable smart device. BACKGROUND

[0002] With the rapid development of Internet technology, wearable smart devices, especially smart watches, have rapidly popularized and gradually become an important part of people's work and life. Such devices not only provide users with convenient functions such as health monitoring, information interaction and sports management, but also introduce safety protection mechanisms such as emergency call.

[0003] At present, the emergency call function on wearable smart devices cannot judge the danger level of the user, which can easily lead to low rescue efficiency in dangerous situations. SUMMARY

[0004] In order to solve the above technical problems, the present application provides an emergency call method and device, a master control chip and a wearable smart device, which improves the rescue efficiency in dangerous situations.

[0005] In a first aspect, the present application provides an emergency call method applied to a wearable smart device, comprising: listening to at least one emergency call operation of a user; when at least one emergency call operation is listened to, at least one trigger signal is generated according to the at least one emergency call operation, wherein each emergency call operation corresponds to one trigger signal; all generated trigger signals are weighted and summed to determine a danger parameter; according to the danger parameter, the danger level of the user is determined, and according to the danger level, the corresponding emergency call mode is selected to send an emergency call signal.

[0006] The above emergency call method can accurately determine the danger level of the user by listening to at least one emergency call operation and generating corresponding trigger signals according to these operations, and then determining the danger parameter by weighted summation, and determining the danger level of the user according to the danger parameter. Finally, the appropriate emergency call mode can be selected according to the danger level to send an emergency call signal. This method can effectively improve the rescue efficiency in dangerous situations.

[0007] In an implementation, the distress operation includes a key input, a voice input, a gesture input, or a non-gesture limb input; when the at least one distress operation is a non-gesture limb input, monitoring the at least one distress operation of the user specifically includes: receiving acceleration data and angular velocity data of the user; when the acceleration data is greater than a first threshold value, the angular velocity data is greater than a second threshold value, and a duration is less than a third threshold value, determining a target action sequence of the user according to the acceleration data and the angular velocity data; when a sequence difference between the target action sequence and a preset emergency action sequence is less than a fourth threshold value, determining that the target action sequence is the emergency action sequence, and taking the target action sequence as the non-gesture limb input.

[0008] The above emergency distress method can effectively identify whether the user has performed a preset emergency action sequence by monitoring the acceleration and angular velocity data of the user in real time. When the acceleration data of the user exceeds the first threshold value, the angular velocity data exceeds the second threshold value, and the duration of this state is less than the third threshold value, the system analyzes these data to determine the target action sequence of the user. If the sequence difference between the target action sequence and the preset emergency action sequence is less than the fourth threshold value, the system will confirm that the user is performing an emergency distress action, and automatically send a distress signal through a preset manner. This method can automatically trigger the distress mechanism when the user cannot actively send a distress signal, so that the user can obtain timely help, thereby avoiding the problem of triggering mechanism failure, thus delaying the rescue opportunity and reducing the rescue efficiency in a dangerous state. In addition, through accurate threshold setting and action sequence comparison, this method can effectively reduce misjudgment and ensure the accuracy and reliability of the distress signal.

[0009] In an implementation, the emergency distress key corresponding to the key input is arranged on the side of the wearable smart device, the emergency distress key is arranged in a convex state, and the area of the emergency distress key is greater than the area of a non-emergency distress key.

[0010] In an implementation, the method further includes: receiving air pressure data and sound wave data of the environment around the user; when the target action sequence is the emergency action sequence, a target noise in the sound wave data is greater than a fifth threshold value, the air pressure data changes to a preset range within a preset time, and the air pressure data meets a target pressure characteristic, determining that the user is in a target event.

[0011] The above emergency distress method not only knows that the user is in a dangerous state after determining that the target action sequence is the emergency action sequence, but also determines whether the user is in a specific target event according to the target action sequence, the sound wave data of the environment around the user, and the air pressure data. When the user is in the target event, a distress signal is sent through a preset manner. This method not only improves the rescue efficiency in a dangerous state, but also provides reliable safety protection for the user.

[0012] In an implementation, the method further includes: receiving environmental data of a surrounding environment of the user; determining an environment in which the user is located according to the environmental data; wherein the environmental data includes at least one of illumination intensity, barometric pressure data, and image data.

[0013] In an implementation, the method further includes: adjusting the weight corresponding to each trigger signal according to a user demand and / or an environment in which the user is located.

[0014] In an implementation, the distress mode includes at least one of: sending a distress signal carrying user positioning information to an emergency contact through wireless communication, sending a voice distress signal to the emergency contact through a voice module, and sending an audible and light alarm signal to the surrounding environment through an audible and light alarm module.

[0015] In a second aspect, the application further provides an emergency distress device applied to a wearable smart device, including: a listening module configured to listen to at least one distress operation of a user; a processing module configured to: when the at least one distress operation is listened to, generate at least one trigger signal according to the at least one distress operation, wherein each distress operation corresponds to one trigger signal; perform weighted summation on all generated trigger signals to determine a danger parameter; determine a danger level in which the user is located according to the danger parameter; and a distress module configured to select a corresponding distress mode according to the danger level and send a distress signal.

[0016] In a third aspect, the application provides a master control chip configured to perform the steps of the emergency distress method of any of the implementations, and / or the master control chip includes the emergency distress device of any of the implementations.

[0017] In a fourth aspect, the application further provides a wearable smart device including a master control chip configured to perform the steps of the emergency distress method of any of the implementations, and / or the master control chip includes the emergency distress device of any of the implementations.

[0018] In an implementation, the wearable smart device includes a smart watch.

[0019] In a fifth aspect, the application further provides a computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of the emergency distress method of any of the implementations.

[0020] In a sixth aspect, the application further provides a computer program product including a computer program, the computer program being executed by a processor to implement the steps of the emergency distress method of any of the implementations.

[0021] Compared with the prior art, the application has at least one of the following beneficial effects:

[0022] 1. By monitoring at least one distress operation and generating corresponding trigger signals according to these operations, determining a danger parameter by weighted summation, and determining the danger level of the user according to the danger parameter, the degree of danger of the user can be accurately judged. Finally, according to the danger level, the appropriate distress mode can be selected to send a distress signal. This method can effectively improve the rescue efficiency in dangerous situations.

[0023] 2. By monitoring the acceleration and angular velocity data of the user in real time, it can effectively identify whether the user has performed a preset emergency action sequence. When the user's acceleration data exceeds the first threshold value, the angular velocity data exceeds the second threshold value, and the duration of this state is less than the third threshold value, the system will analyze these data to determine the user's target action sequence. If the difference between this sequence and the preset emergency action sequence is less than the fourth threshold value, the system will confirm that the user is performing an emergency distress action, and automatically send a distress signal through a preset mode. This method can automatically trigger the distress mechanism when the user cannot actively call for help, so that the user can obtain timely assistance, thereby avoiding the problem of triggering mechanism failure, thus delaying the rescue opportunity and reducing the rescue efficiency in dangerous situations. In addition, through accurate threshold setting and action sequence comparison, this method can also effectively reduce misjudgment, ensuring the accuracy and reliability of the distress signal.

[0024] 3. After determining that the target action sequence is an emergency action sequence, not only can it be known that the user is in a dangerous situation, but also whether the user is in a specific target event can be determined according to the target action sequence, sound wave data and air pressure data of the user's surroundings. When the user is in the target event, a distress signal is sent through a preset mode. This method not only improves the rescue efficiency in dangerous situations, but also provides reliable safety protection for the user. BRIEF DESCRIPTION OF DRAWINGS

[0025] The above-mentioned features, technical characteristics, advantages and their implementation methods of the present application will be further described in the following preferred embodiments in a clear and understandable manner, combined with the accompanying drawings.

[0026] Figure 1 A flowchart of an emergency distress method provided by an embodiment of the present application is shown;

[0027] Figure 2 A flowchart of monitoring non-gesture body input of a user provided by an embodiment of the present application is shown;

[0028] Figure 3 A flowchart of determining that a user is in a target event provided by an embodiment of the present application is shown;

[0029] Figure 4 A structural block diagram of an emergency distress device provided by an embodiment of the present application is shown;

[0030] Figure 5 A structural block diagram of a wearable smart device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, specific embodiments of the present application will be described below with reference to the drawings. Obviously, the drawings in the following description only represent some of the embodiments of the present application, and for those skilled in the art, other drawings can be obtained from these drawings without creative effort, and other embodiments can also be obtained.

[0032] In order to make the drawing simple, only the parts related to the application are shown in each drawing, which do not represent the actual structure of the product. In addition, in order to make the drawing simple and easy to understand, in some drawings, only one of the components with the same structure or function is shown schematically, or only one of them is marked. In this document, "one" not only means "only one", but also means "more than one" situation.

[0033] It should be further understood that the term "and / or" used in the present application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0034] In this document, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through intermediate medium, or the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0035] In addition, in the description of the present application, the terms "first", "second" and the like are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0036] It should be noted that the above embodiments can be freely combined as needed. The above is only the preferred embodiment of the present application, and it should be pointed out that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can also be made, which should be considered as the protection scope of the present application.

[0037] The design of the emergency call function of a wearable smart device, especially a smart watch, is a problem to be solved. The emergency call function on the wearable smart device is usually realized in a key triggering or voice triggering manner. Among them, the key triggering manner is to set a physical key on the wearable smart device, and the user can trigger the emergency call by pressing the physical key. The voice triggering manner is that the user can issue a voice instruction, and when the voice instruction matches the pre-stored voice instruction in the wearable smart device, the emergency call can be triggered. It can be clearly seen that the common emergency call function on the wearable smart device depends on a single physical key or voice instruction triggering manner. The design of the emergency call function of the wearable smart device cannot judge the danger level of the user, and is prone to cause problems such as low rescue efficiency.

[0038] Therefore, an embodiment of the present application provides an emergency call scheme, by setting multiple triggering manners of call operation on the wearable smart device, and then when at least one call operation is listened to, the at least one call operation is processed, the corresponding danger level is determined, and according to the danger level, the corresponding call mode is selected for calling for help, thereby the rescue efficiency in a dangerous state can be improved.

[0039] The following will be described in conjunction with the accompanying drawings:

[0040] Reference is made to the accompanying drawings Figure 1 which shows a flowchart of an emergency call method provided by an embodiment of the present application. The emergency call method is applied to a wearable smart device, such as a smart watch, and includes the following steps. Figure 1 As shown in the figure, the emergency call method includes the following steps:

[0041] S100, at least one call operation of a user is listened to.

[0042] S110, when at least one call operation is listened to, at least one trigger signal is generated according to the at least one call operation, wherein each call operation corresponds to one trigger signal.

[0043] S120, all the generated trigger signals are weighted and summed to determine a danger parameter.

[0044] S130, according to the danger parameter, the danger level of the user is determined, and according to the danger level, the corresponding call mode is selected to issue a call signal.

[0045] The call operation can include key input, voice input, gesture input or non-gesture limb input. That is, the at least one call operation refers to at least one of the key input, voice input, gesture input or non-gesture limb input. Each call operation corresponds to one trigger signal, and each trigger signal is pre-provided with a corresponding weight.

[0046] The user's help operation is monitored in real time. When at least one help operation is monitored within a preset time (the preset time can be 30 seconds or 1 minute, and can be set according to user demand), at least one trigger signal corresponding to the help operation within the time period can be determined. The danger parameter can be determined by weighted summation of the at least one trigger signal and the weight corresponding to the at least one trigger signal. According to the mapping relationship between the pre-stored danger parameter and the danger level, the corresponding danger level is determined. Finally, the corresponding help mode can be selected according to the danger level, and the help signal is sent. The help mode can include but is not limited to sending a help signal carrying user positioning information to an emergency contact through wireless communication, sending a voice help signal to an emergency contact, and sending a sound and light alarm signal to the surrounding environment.

[0047] The user can divide multiple danger levels according to demand, and the multiple danger levels increase or decrease in turn. The multiple danger levels can be divided into first, second, and third danger levels, and the danger levels increase in turn. When the user is in the first danger level, the help mode corresponding to the first danger level can be any one of sending a help signal carrying user positioning information to an emergency contact through wireless communication, sending a voice help signal to an emergency contact, and sending a sound and light alarm signal to the surrounding environment; when the user is in the second danger level, the help mode corresponding to the second danger level can be any two of sending a help signal carrying user positioning information to an emergency contact through wireless communication, sending a voice help signal to an emergency contact, and sending a sound and light alarm signal to the surrounding environment; when the user is in the third danger level, the help mode corresponding to the third danger level can be sending a help signal carrying user positioning information to an emergency contact through wireless communication, sending a voice help signal to an emergency contact, and sending a sound and light alarm signal to the surrounding environment.

[0048] The above division of danger levels and the mapping between danger levels and help modes are examples for easy understanding, and the application is not limited in this regard. The user can divide danger levels and determine the mapping between danger levels and help modes according to their own needs.

[0049] The embodiments of the application can accurately determine the danger level of the user by monitoring at least one help operation, generating corresponding trigger signals according to the operations, determining a danger parameter by weighted summation, and determining the danger level of the user according to the danger parameter. Finally, the appropriate help mode can be selected according to the danger level, and the help signal can be sent. This method can effectively improve the rescue efficiency in dangerous situations.

[0050] The application can not only realize active triggering of emergency help by means of key input, voice input and gesture input, but also realize passive triggering of emergency help by means of non-gesture limb input. The passive triggering of emergency help can avoid triggering mechanism failure, thereby delaying the rescue opportunity and reducing the rescue efficiency in a dangerous state. For example, refer to Fig. 1, which shows a flowchart of monitoring non-gesture limb input of a user according to an embodiment of the application. As shown in Fig. 1, it includes the following steps. Figure 2 Figure 2

[0051] S200, receiving acceleration data and angular velocity data of the user.

[0052] S210, determining a target action sequence of the user according to the acceleration data and the angular velocity data when the acceleration data is greater than a first threshold value, the angular velocity data is greater than a second threshold value and the duration is less than a third threshold value.

[0053] S220, determining that the target action sequence is an emergency action sequence when a sequence difference between the target action sequence and a preset emergency action sequence is less than a fourth threshold value, and taking the target action sequence as non-gesture limb input.

[0054] The wearable smart device includes a watchband and a watch body. The watch body is internally provided with a main control chip, a communication module (or a communication module) electrically connected with the main control chip, a positioning module, a voice module, a sensing module (or a sensing module) and a storage module. The positioning module is used to determine the current positioning information of the user. The communication module can establish communication with the smart device of the emergency contact, and is used to dial the emergency contact phone and send a distress signal carrying the positioning information of the user to the emergency contact. For example, it includes but is not limited to sending a short message carrying the positioning information, forwarding an alarm information (also carrying the positioning information of the user) to the emergency contact through a gateway, etc. The voice module can enable the user and the emergency contact to make a voice call, and the user can inform the emergency contact of the possible emergency, so as to facilitate the rescue personnel to perform rescue.

[0055] ​​The sensing module can be built-in with multiple sensors to obtain acceleration data and angular velocity data of the user in real time. For example, the multiple sensors can include an acceleration sensor (which can be a three-axis acceleration sensor) and an angular velocity sensor (which can be a gyroscope). The acceleration sensor is used to detect the acceleration change of the user in three-dimensional space, and can capture the force and direction of the action (e.g., sudden falling, violent forward leaning, etc.). The angular velocity sensor can detect the angular velocity data (or rotational angular velocity) of the user around the three-dimensional axis, reflecting the rotation amplitude and posture change of the action (e.g., the angle of the body suddenly falling). For another example, the multiple sensors can also include an inertial measurement unit, which can fuse the acceleration data and the angular velocity data through an algorithm to more accurately restore the posture trajectory of the action and avoid errors of a single sensor. For another example, the multiple sensors can also include a posture sensor, which can combine a machine learning model and the acceleration data, the angular velocity data, and the geomagnetic data collected by the posture sensor to identify the posture trajectory of the user.

[0056] When the obtained acceleration data is greater than the first threshold value and the duration is less than the third threshold value, and the angular velocity data is greater than the second threshold value and the duration is less than the third threshold value, it can be preliminarily determined that the current state of the user is a dangerous state. For example, when the current state of the user is falling, the corresponding determination conditions are that the acceleration data (which is the vertical acceleration data at this time) > 2g and the duration < 0.5s, and the angular velocity data > 45° / s and the duration < 0.5s. When these determination conditions are met, it is preliminarily determined that the falling state is a dangerous state. For another example, when the current state of the user is sudden falling, the corresponding various threshold values can be set according to actual conditions, which are not limited in the present application. It can be understood that when the user is in a non-dangerous state, for example, the user is in a normal walking state, the current acceleration data and angular velocity data of the user can fluctuate within the corresponding acceleration range and angular velocity range (the angular velocity range of the normal walking state can be -10° / s to 10° / s, which can be changed according to actual conditions).

[0057] According to the collected acceleration data and angular velocity data and the action template preprogrammed by the machine, the target action sequence of the user is determined (for example, when the fall state is preliminarily determined, the target action sequence is the target action sequence corresponding to the fall state). Meanwhile, the master control chip can compare the target action sequence with the emergency action sequence, and when the sequence difference between them is less than a fourth threshold value, it is determined that the target action sequence is the emergency action sequence, that is, it is further determined that the user is in a dangerous state and it can be determined that the target action sequence is a non-gesture body input. Then, according to the non-gesture body input, a corresponding trigger signal can be determined, and the trigger signal can be weighted and summed to determine a danger parameter. According to the danger parameter, the danger level of the user is determined, and then a corresponding help-seeking mode is selected according to the danger level to send a help-seeking signal. For example, the master control chip can control the communication module to send a help-seeking signal carrying user positioning information to the emergency contact person in a wireless communication manner; for another example, the master control chip can start the voice module so that the user can send a voice help-seeking signal according to the voice module, so that the user can inform the emergency contact person of the possible emergency situation, facilitating the rescue personnel to perform rescue; for another example, the master control chip can control the sound and light alarm module on the wearable smart device to send a sound and light alarm signal to the surrounding environment.

[0058] When the sequence difference between the target action sequence and the emergency action sequence is not less than the fourth threshold value, it is indicated that the target action sequence is a non-emergency action sequence, that is, it is further determined that the user is in a safe state. The emergency action sequence can include a fall action sequence, and the complete process of the fall action sequence is in turn a standing posture, rapid tilting, sudden acceleration increase, and posture stabilization. The non-emergency action sequence can include an action sequence corresponding to normal sitting, and the complete process of the sequence is in turn slow tilting, smooth acceleration, and posture stabilization.

[0059] The embodiment of the present application can effectively identify whether the user has performed a preset emergency action sequence by monitoring the acceleration and angular velocity data of the user in real time. When the acceleration data of the user exceeds a first threshold value, the angular velocity data exceeds a second threshold value, and the duration of this state is less than a third threshold value, the system analyzes these data to determine the target action sequence of the user. If the sequence difference between the target action sequence and the preset emergency action sequence is less than a fourth threshold value, the system will confirm that the user is performing an emergency help-seeking action, and automatically send a help-seeking signal in a preset manner. This method can automatically trigger the help-seeking mechanism when the user cannot actively seek help, so that the user can obtain help in time, thereby avoiding the problem of triggering mechanism failure, thus delaying the rescue opportunity and reducing the rescue efficiency in a dangerous state. In addition, through accurate threshold setting and action sequence comparison, this method can also effectively reduce misjudgment and ensure the accuracy and reliability of the help-seeking signal.

[0060] In some embodiments of the present application, an emergency call button is arranged on the side of the wearable smart device and electrically connected to the master control chip. The emergency call button is arranged in a protruding state, has a clear touch feeling, and has an area larger than that of a non-emergency call button on the wearable smart device, so that the user can accurately press the emergency call button. When the user is in a dangerous state, the emergency call button can be pressed. At this time, the user's key input can be listened to, and a trigger signal is generated. The master control chip performs weighted summation on the trigger signal to determine a danger parameter. According to the danger parameter, the danger level of the user is determined, and then a corresponding rescue mode is selected according to the danger level, and a rescue signal is sent out. In one possible implementation, when the user is in a dangerous state, if the emergency call button is pressed for more than a first time length, the highest level alarm can be triggered.

[0061] The table body of the wearable smart device is built-in with a high-sensitivity microphone for collecting voice input (or called rescue voice instruction) of the user, for example, the voice input can be "help, help me" and the like. After the voice recognition unit in the sensing module recognizes the voice input, a trigger signal can be generated. The master control chip performs weighted summation on the trigger signal to determine a danger parameter. According to the danger parameter, the danger level of the user is determined, and then a corresponding rescue mode is selected according to the danger level, and a rescue signal is sent out.

[0062] The wearable smart device can be built-in with a gesture recognition module, which can recognize the wrist motion trajectory pattern of the acceleration data and angular velocity data of the user to recognize the rescue gesture of the user. The gesture recognition module can also generate a trigger signal when recognizing the rescue gesture of the user. The master control chip can confirm that the user is in a dangerous state according to the trigger signal, and then the master control chip can perform weighted summation on the trigger signal to determine a danger parameter. According to the danger parameter, the danger level of the user is determined, and then a corresponding rescue mode is selected according to the danger level, and a rescue signal is sent out.

[0063] The embodiments of the present application further enhance the response capability in emergency situations by listening to the user's rescue operation such as key input, voice input or gesture input. When the system receives the user's rescue operation, a trigger signal is generated, which enables the system to quickly identify that the user is in a dangerous state. Subsequently, the system will send out a rescue signal in a preset manner to ensure that the user can obtain timely assistance. This method provides an emergency rescue mechanism combining active and passive, which can automatically identify emergency situations by monitoring the acceleration data and angular velocity data of the user, and quickly respond to emergency needs through the user's active operation. This double mechanism significantly improves the rescue efficiency and accuracy of the user in a dangerous state, thereby providing more comprehensive and reliable safety protection for the user in critical moments.

[0064] In some embodiments of the present application, the emergency key corresponding to the key input is arranged on the side of the wearable smart device, the emergency key is arranged in a protruding state, and the area of the emergency key is greater than the area of the non-emergency key.

[0065] Reference is made to the accompanying drawings Figure 3 which shows a flowchart for determining that a user is in a target event according to an embodiment of the present application. As shown in Figure 3 , it includes:

[0066] S300, receiving air pressure data and sound wave data of the environment around the user;

[0067] S310, when the target action sequence is an emergency action sequence, the target noise in the sound wave data is greater than a fifth threshold value, the air pressure data changes to a preset range within a preset time, and the air pressure data meets a target pressure characteristic, determining that the user is in a target event.

[0068] The plurality of sensors on the wearable smart device can also include an air pressure sensor and / or an air pressure gauge, both of which can be used to measure the air pressure data of the environment around the user. The plurality of sensors can also include a multi-microphone array, which can collect sound wave data of the environment around the user through beamforming technology. The air pressure sensor can include but is not limited to a piezoresistive air pressure sensor, a capacitive air pressure sensor, a vibrating cylinder air pressure sensor, and a thermal air pressure sensor, etc. The air pressure gauge includes but is not limited to a mercury air pressure gauge, an electronic air pressure gauge, a liquidless air pressure gauge, and a vibrating cylinder air pressure gauge, etc.

[0069] After the air pressure gauge collects the air pressure data of the environment around the user, the master control chip can filter the background noise in the air pressure data through a voiceprint recognition algorithm. At the same time, when the target action sequence is an emergency action sequence, the target noise in the sound wave data is greater than a fifth threshold value, the air pressure data changes to a preset range within a preset time, and the air pressure data meets a target pressure characteristic, it is determined that the user is in a target event. For example, when the emergency action sequence is a falling action sequence, the target noise is greater than the fifth threshold value (at this time, the target noise is water flow noise), the air pressure data changes to a preset range within a preset time (corresponding to a sudden drop in altitude within a preset time), and the air pressure data meets the underwater pressure characteristic, it can be determined that the user is in a drowning event. At this time, the master control chip can also send a distress signal through a preset manner.

[0070] The target noise being greater than the fifth threshold value can refer to the noise intensity of the target noise being greater than the fifth threshold value, can also refer to the data amount of the target noise being greater than the fifth threshold value, can also refer to the number of noise sources of the target noise being greater than the fifth threshold value, and can also refer to the duration of the target noise being greater than the fifth threshold value. The setting of the fifth threshold value can be changed according to the type of the target noise.

[0071] The embodiment of the present application can not only know that the user is in a dangerous state after determining that the target action sequence is an emergency action sequence. Meanwhile, whether the user is in a specific target event can be determined according to the target action sequence, the sound wave data and the air pressure data of the environment around the user. When the user is in the target event, a distress signal is sent in a preset manner. The method not only improves the rescue efficiency in a dangerous state, but also provides reliable security for the user.

[0072] In some embodiments of the present application, the method further comprises: receiving environmental data of the environment around the user; and determining the environment in which the user is located according to the environmental data, wherein the environmental data comprises at least one of illumination intensity, air pressure data and image data.

[0073] The various sensors on the wearable smart device can further include an illumination intensity sensor and an image sensor. The illumination intensity sensor is used to collect the illumination intensity of the environment around the user, and the image sensor is used to collect image data of the environment around the user. The illumination intensity sensor can include but is not limited to an ambient light sensor, a photodiode, etc. The image sensor can include but is not limited to a camera, an infrared image sensor, a linear array image sensor and a plane array image sensor, etc. The type of the illumination intensity sensor and the image sensor is not limited in the present application.

[0074] The master control chip can determine whether the user is in an indoor, outdoor or dark environment according to the illumination intensity. The master control chip can also infer the change of altitude according to the air pressure data, so as to identify the elevator movement, the entry and exit of the underground passage or the water submersion state (i.e. the drowning state). The master control chip can also directly determine the on-site environment according to the image data. For example, when the image sensor is a camera, the master control chip can determine the environment in which the user is located from the on-site environment video collected by the camera.

[0075] Alternatively, the master control chip can freely combine various examples in the environmental parameters, so as to more accurately determine the environment in which the user is located. For example, the master control chip can preliminarily determine that the user is in an indoor environment according to the illumination intensity, and then further determine that the user is in an elevator and the elevator is moving according to the air pressure data. For another example, the master control chip can preliminarily determine that the user is in an outdoor environment according to the illumination intensity, and then further determine that the user is in a water submersion state according to the image data. The type of combination is not limited in the present application.

[0076] In some embodiments of the present application, the method further comprises: adjusting the weight corresponding to each trigger signal according to the user demand and / or the environment in which the user is located.

[0077] The user can adjust the weight of the trigger signal corresponding to the key input, voice input, gesture input and non-gesture body input according to the user's needs. For example, when the user is currently inconvenient to perform key input and voice input, the weight of the trigger signal corresponding to the gesture input and / or non-gesture body input can be adjusted to be higher, the weight of the trigger signal corresponding to the key input and / or voice input can be adjusted to be lower (or the weight of the trigger signal corresponding to the key input and voice input remains unchanged, or the weight of the trigger signal corresponding to the key input and / or voice input can be adjusted to be higher, but the adjustment amplitude is smaller than that of the trigger signal corresponding to the gesture input and / or non-gesture body input).

[0078] Alternatively, the corresponding weight can be automatically adjusted according to the environment in which the user is located. For example, when the user is in a running state or a swimming state, the weight of the trigger signal corresponding to the non-gesture body input can be adjusted to be higher, the weight of the trigger signal corresponding to other inputs can be adjusted to be lower or remain unchanged, or the weight of the trigger signal corresponding to other inputs can be adjusted to be higher, but the adjustment amplitude is smaller than that of the trigger signal corresponding to the non-gesture body input.

[0079] Alternatively, the weight of the trigger signal can also be adjusted according to the number of key inputs, the decibel and frequency of the user's voice input, the frequency and amplitude of the gesture input, the frequency and amplitude of the non-gesture body input and other parameters. The specific adjustment method is the same as the foregoing.

[0080] In some embodiments of the present application, the distress signal is sent in a preset manner, specifically including: sending a distress signal carrying user positioning information to an emergency contact through wireless communication, and sending a voice distress signal to the emergency contact through a voice module; and sending an audible and light alarm signal to the surrounding environment through an audible and light alarm module.

[0081] When determining that the user is in a dangerous state, the master chip can control the communication module to send a distress signal carrying user positioning information to the emergency contact in a wireless communication manner. For example, the master chip can control the cellular network module to automatically dial the emergency contact phone and send a short message carrying user positioning information. For another example, the master chip can control the Bluetooth module / WIFI module to send alarm information carrying user positioning information to the emergency contact's mobile phone through a gateway. The master chip can start the voice module, so that the user can send a voice distress signal according to the voice module, so that the user can inform the emergency contact of the possible emergency, and the rescue personnel can rescue. The master chip can control the sound and light alarm module on the wearable smart device to send a sound and light alarm signal to pedestrians in the surrounding environment. For example, the buzzer can be controlled to emit a high-decibel (such as 80 dB or more) continuous alarm sound to attract the attention of people around; for another example, the LED light can be controlled to flash a strong light (such as red light) to enhance the warning effect in a relatively dark environment.

[0082] Reference is made to the accompanying drawings Figure 4 which shows a structural block diagram of an emergency distress device provided by an embodiment of the present application. The emergency distress device 400 is located on the master chip of a wearable smart device, as shown in Figure 4 includes a listening module 410 for listening to at least one distress operation of the user; a processing module 420 configured to: when at least one distress operation is listened to, generate at least one trigger signal according to the at least one distress operation, wherein each distress operation corresponds to one trigger signal; sum all generated trigger signals by weighting to determine a danger parameter; determine a danger level of the user according to the danger parameter; and a distress module 430 configured to select a corresponding distress mode according to the danger level and send a distress signal.

[0083] The embodiment of the present application can accurately determine the danger level of the user by listening to at least one distress operation and generating corresponding trigger signals according to the operations, and then determining a danger parameter by weighted summation and determining a danger level of the user according to the danger parameter. Finally, a suitable distress mode can be selected according to the danger level to send a distress signal. This method can effectively improve the rescue efficiency in a dangerous state.

[0084] The embodiment of the present application also provides a master chip configured to perform the steps of the emergency distress method of any of the above embodiments, and / or the master chip includes the emergency distress device of any of the above embodiments.

[0085] Reference is made to the accompanying drawings Figure 5 which shows a structural block diagram of a wearable smart device provided by an embodiment of the present application. As shown in Figure 5As shown, the wearable smart device 500 comprises a master chip 510, and a communication module 520, a positioning module 530, a voice module 540, a sensing module 550, a storage module 560, a gesture recognition module 570, and a sound and light alarm module 580 electrically connected with the master chip 510. The master chip 510 is configured to execute the steps of the emergency help-seeking method of any one of the above embodiments, and / or the master chip 510 comprises the emergency help-seeking device of any one of the above embodiments.

[0086] In some embodiments of the present application, the wearable smart device comprises a smart watch, a smart bracelet, smart glasses, etc.

[0087] A wearable smart device in an embodiment of the present application is basically similar to the method embodiment, so the description is relatively simple, and the relevant parts are described in the method embodiment.

[0088] It should be noted that the above embodiments can be freely combined as needed. The above is only a preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can also be made, which should be considered as the protection scope of the present application.

Claims

1. A method for emergency call, applied to a wearable smart device, and comprising the steps of: The method comprises: monitoring at least one distress operation of the user; generating at least one trigger signal according to at least one distress operation when at least one distress operation is monitored, wherein each distress operation corresponds to one trigger signal; weighting and summing all generated trigger signals to determine a danger parameter; determining a danger level of the user according to the danger parameter, and selecting a corresponding distress mode according to the danger level to send a distress signal.

2. The emergency call method according to claim 1, characterized in that, The distress operation includes key input, voice input, gesture input or non-gesture limb input; when at least one distress operation is non-gesture limb input, the monitoring at least one distress operation of the user specifically includes: receiving acceleration data and angular velocity data of the user; determining a target action sequence of the user according to the acceleration data and the angular velocity data when the acceleration data is greater than a first threshold value, the angular velocity data is greater than a second threshold value, and the duration is less than a third threshold value; determining that the target action sequence is the emergency action sequence when the sequence difference between the target action sequence and a preset emergency action sequence is less than a fourth threshold value, and taking the target action sequence as the non-gesture limb input.

3. The emergency call method of claim 2, wherein, Further comprising: receiving air pressure data and sound wave data of the environment around the user; determining that the user is in a target event when the target action sequence is the emergency action sequence, the target noise in the sound wave data is greater than a fifth threshold value, the air pressure data changes to a preset range within a preset time, and the air pressure data meets a target pressure characteristic.

4. The emergency call method of claim 1, wherein, Further comprising: receiving environmental data of the environment around the user; determining the environment in which the user is located according to the environmental data; wherein the environmental data includes at least one of illumination intensity, air pressure data, and image data.

5. The emergency call method of claim 4, wherein, Further comprising: adjusting the weight corresponding to each trigger signal according to the user's needs and / or the environment in which the user is located.

6. The emergency call method according to any one of claims 1-5, characterized in that, The distress mode includes at least one of sending a distress signal carrying user positioning information to an emergency contact through wireless communication, sending a voice distress signal to an emergency contact through a voice module, and sending a sound and light alarm signal to the surrounding environment through a sound and light alarm module. The method comprises:

7. An emergency help device applied to a wearable smart device, characterized in that, a monitoring module configured to monitor at least one distress operation of the user; a processing module configured to generate at least one trigger signal according to at least one distress operation when at least one distress operation is monitored, wherein each distress operation corresponds to one trigger signal; weighting and summing all generated trigger signals to determine a danger parameter; determining a danger level of the user according to the danger parameter; a distress module configured to select a corresponding distress mode according to the danger level to send a distress signal. The main control chip is configured to perform the steps of the emergency distress method of any one of claims 1-6, and / or the main control chip comprises the emergency distress device of claim 7.

8. A master chip, characterized by The method comprises:

9. A wearable smart device, comprising: ​ A master chip configured to perform the steps of the emergency call method of any one of claims 1-6, and / or the master chip comprises the emergency call device of claim 7.

10. The smart wearable device of claim 9, wherein, Also included are: An emergency call button disposed on a side of the wearable smart device, the emergency call button disposed in a raised state, and the emergency call button having an area greater than an area of a non-emergency call button.

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